In my textbook, it says that when $L$ is a matrix that represents real($\mathbb{R}$) physical quantity, $L^2$ represents non-negative real physical quantity. What would be the proof of this?
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There exists a set of eigenstates, $\{ |\psi_\lambda\rangle \}$, such that $L|\psi_\lambda\rangle = \lambda|\psi_\lambda\rangle$ where $\lambda$ is a real eigenvalue and $|\psi_\lambda\rangle$ is an eigenstate of $L$. The $\lambda$ represents the value of a physical observable associated with the eigenstate $|\psi_\lambda\rangle$. There is currently no stipulation as to the sign of $\lambda$. It can be positive or negative, but we are given that it is real. Now we reapply the $L$ operator to our eigenvector equation to arrive at: |
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If $\psi$ is a normalized eigenvector of $L^2$ and $\lambda$ the corresponding eigenvalue then $\lambda=\psi^*\lambda\psi=\psi^*L^2\psi=(L\psi)^*(L\psi)$. Thus $\lambda$ is manifestly real and nonnegative. This even holds if $L$ is a vector of noncommuting real (i.e., Hermitian) quantities, such as angular momentum. Then we get in the last step $\sum_i (L_i\psi)^*(L_i\psi)$, which is again manifestly real and nonnegative. |
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If $L$ is an operator of a real physical quantity, it means it has its own eigenvectors $|\psi_l\rangle$ and eigenvalues $l$: $$L|\psi_l\rangle=l|\psi_l\rangle$$. If $l$ is real, then $l^2$ (corresponding to the eigenvalue of $L^2$) is positive. |
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